Best Practices

    Budget allocation optimization: data-driven approaches for marketing investment

    13 min read
    Budget allocation optimization: data-driven approaches for marketing investment

    Most marketing budgets are allocated based on history and politics rather than evidence. This guide shows how to use data-driven methods to optimize marketing investment.

    budget optimization
    allocation
    MMM
    ROI
    planning

    Most marketing budgets are allocated based on history and politics rather than evidence. "We've always spent 40% on TV" isn't a strategy—it's inertia.

    The cost of suboptimal allocation

    Research suggests most brands could improve marketing ROI by 15-30% through better budget allocation alone, without increasing total spend.

    Data-driven allocation methods

  1. Marketing mix modeling - Use MMM output to simulate ROI at different spend levels
  2. Marginal ROI analysis - Allocate incremental budget to highest-marginal-return channels
  3. Scenario planning - Test multiple budget scenarios before committing

    4. Building an optimization framework

    Steps:

  4. Establish current baseline performance
  5. Build MMM with saturation curves for each channel
  6. Identify channels below/above optimal spend
  7. Create reallocation scenarios
  8. Test via geo-experiments before full rollout

    9. Practical constraints

    Account for:

  9. Minimum spend thresholds for reach
  10. Creative production costs
  11. Contractual commitments
  12. Seasonal requirements

    13. Get Marketing Analytics Insights

    Monthly briefings on marketing mix modeling, budget optimisation and what's actually moving the needle for European brands.

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